use sell_row.open also when the active ROI value just changed
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@ -273,19 +273,26 @@ class Backtesting:
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roi_entry, roi = self.strategy.min_roi_reached_entry(trade_dur)
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if roi is not None:
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if roi == -1 and roi_entry % self.timeframe_mins == 0:
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# When forceselling with ROI=-1, the roi-entry will always be "on the entry".
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# If that entry is a multiple of the timeframe (so on open)
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# When forceselling with ROI=-1, the roi time will always be equal to trade_dur.
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# If that entry is a multiple of the timeframe (so on candle open)
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# - we'll use open instead of close
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return sell_row.open
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# - (Expected abs profit + open_rate + open_fee) / (fee_close -1)
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closerate = - (trade.open_rate * roi + trade.open_rate *
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(1 + trade.fee_open)) / (trade.fee_close - 1)
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close_rate = - (trade.open_rate * roi + trade.open_rate *
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(1 + trade.fee_open)) / (trade.fee_close - 1)
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# Use the maximum between closerate and low as we
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if (trade_dur > 0 and trade_dur == roi_entry
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and roi_entry % self.timeframe_mins == 0
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and sell_row.open > close_rate):
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# new ROI entry came into effect.
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# use Open rate if open_rate > calculated sell rate
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return sell_row.open
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# Use the maximum between close_rate and low as we
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# cannot sell outside of a candle.
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# Applies when a new ROI setting comes in place and the whole candle is above that.
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return max(closerate, sell_row.low)
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return max(close_rate, sell_row.low)
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else:
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# This should not be reached...
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@ -281,6 +281,53 @@ tc17 = BTContainer(data=[
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trades=[BTrade(sell_reason=SellType.ROI, open_tick=1, close_tick=3)]
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)
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# Test 18: Buy, hold for 120 mins, then drop ROI to 1%, causing a sell in candle 3.
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# stop-loss: 10%, ROI: 10% (should not apply), -100% after 100 minutes (limits trade duration)
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# uses open_rate as sell-price
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tc18 = BTContainer(data=[
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# D O H L C V B S
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[0, 5000, 5025, 4975, 4987, 6172, 1, 0],
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[1, 5000, 5025, 4975, 4987, 6172, 0, 0],
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[2, 4987, 5300, 4950, 5200, 6172, 0, 0],
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[3, 5200, 5220, 4940, 4962, 6172, 0, 0], # Sell on ROI (sells on open)
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[4, 4962, 4987, 4972, 4950, 6172, 0, 0],
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[5, 4950, 4975, 4925, 4950, 6172, 0, 0]],
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stop_loss=-0.10, roi={"0": 0.10, "120": 0.01}, profit_perc=0.04,
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trades=[BTrade(sell_reason=SellType.ROI, open_tick=1, close_tick=3)]
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)
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# Test 19: Buy, hold for 119 mins, then drop ROI to 1%, causing a sell in candle 3.
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# stop-loss: 10%, ROI: 10% (should not apply), -100% after 100 minutes (limits trade duration)
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# uses calculated ROI (1%) as sell rate, otherwise identical to tc18
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tc19 = BTContainer(data=[
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# D O H L C V B S
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[0, 5000, 5025, 4975, 4987, 6172, 1, 0],
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[1, 5000, 5025, 4975, 4987, 6172, 0, 0],
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[2, 4987, 5300, 4950, 5200, 6172, 0, 0],
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[3, 5000, 5300, 4940, 4962, 6172, 0, 0], # Sell on ROI
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[4, 4962, 4987, 4972, 4950, 6172, 0, 0],
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[5, 4550, 4975, 4925, 4950, 6172, 0, 0]],
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stop_loss=-0.10, roi={"0": 0.10, "120": 0.01}, profit_perc=0.01,
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trades=[BTrade(sell_reason=SellType.ROI, open_tick=1, close_tick=3)]
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)
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# Test 20: Buy, hold for 119 mins, then drop ROI to 1%, causing a sell in candle 3.
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# stop-loss: 10%, ROI: 10% (should not apply), -100% after 100 minutes (limits trade duration)
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# uses calculated ROI (1%) as sell rate, otherwise identical to tc18
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tc20 = BTContainer(data=[
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# D O H L C V B S
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[0, 5000, 5025, 4975, 4987, 6172, 1, 0],
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[1, 5000, 5025, 4975, 4987, 6172, 0, 0],
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[2, 4987, 5300, 4950, 5200, 6172, 0, 0],
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[3, 5200, 5300, 4940, 4962, 6172, 0, 0], # Sell on ROI
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[4, 4962, 4987, 4972, 4950, 6172, 0, 0],
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[5, 4550, 4975, 4925, 4950, 6172, 0, 0]],
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stop_loss=-0.10, roi={"0": 0.10, "119": 0.01}, profit_perc=0.01,
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trades=[BTrade(sell_reason=SellType.ROI, open_tick=1, close_tick=3)]
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)
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TESTS = [
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tc0,
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tc1,
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@ -300,6 +347,9 @@ TESTS = [
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tc15,
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tc16,
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tc17,
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tc18,
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tc19,
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tc20,
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]
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